PDF-CONSTRUCTS, VARIABLES,

AND OPERATIONALIZATION July 5 2011 Amanda Leggett Outline xF0A8 Understanding CONSTRUCTS xF0A8 Understanding the importance of OPERATIONAL DEFINITIONS xF0A8 Understanding VARIABLES CONST. They may be explanatory or outcome variables however the focus of this article is explanatory or independent variable construction and usage Typically dummy variables are used in the following applications time series analysis with seasonality or re wait Bi l s gna C lock acquire D lock release E signalAll Hoare monitor semantics Assume thread T1 is waiting on condition Assume thread T2 is in the monitor Assume thread T2 calls x signal T2 ives u monitor T2 blocks gp T1 takes over monitor run RANDOM VARIABLES Definition usually denoted as X or Y or even Z and it is th e numerical outcome of a random process Example random process The number of heads in 10 tosses of a coin Example The number 5 rating Roy Howell. Texas Tech University. Latent Variables, Constructs, and Constructions . Premise: It takes both conceptual clarity and representational accuracy to advance the process of knowledge accumulation.. Murali. Mani, . Mohamad. . Alawa. , . Arunlal. . Kalyanasundaram. University of Michigan, Flint. Presented at IDEAS 2011.. Provenance Metadata. Data about origins of data. Applications:. Check whether data item is valid – in health records. Causes. (More Theory than Applied). . Peter Spirtes, Erich . Kummerfeld. , Richard Scheines, Joe Ramsey. 1. An example. Person 1. Stress. Depression. 3. Religious Coping. Task: learn causal model. By. Shyam. . Gurram. Variables. Variables: There are certain rules for variables. A variable starts with the $ sign, followed by the name of the variable. A variable name must start with a letter or the underscore character. Graham C L Davey, Gary Britton, Frances . Meeten. & Georgina Barnes. UNIVERSITY OF SUSSEX. What are Clinical Constructs?. “Inferred states or processes derived most often from the clinical experiences of researchers or clinicians in their interactions with patients” (Davey, 2003). HIGHER COMPUTING SCIENCE. MR ROSS. LEARNING INTENTION. Computational Constructs Revision:. Sequence. Selection (. inc.. complex selection). Iteration or Repetition. Concatenation. Pre-defined functions. The Stages in . Structural Equation Model. Stage 1) . Assessing individual constructs . Stage 2) . Developing and assessing the measurement model validity. Stage 3) . Specifying the structural model. • State-space representation.. • Linear state-space equations.. • Nonlinear state-space equations.. • Linearization of state-space equations.. 2. Input-output Description. The description is valid for. Bergen, August 2009. Roy Howell. Texas Tech University. Latent . Variables, Constructs, and . Constructions.  . First, some acknowledgements:. Einar Breivik, whose questions made me change my thinking about the idea of formative measurement (after 20 years of being wrong). questions. . operationalization. - . constructs. , . concepts. , . variables. and . hypotheses. Sources: Amanda Leggett: Constructs, variables and operationalization, 2011; Hair, Marketing research, ch. 3 – Thinking like a researcher. Personality Psychology. Personal Construct Theory. Kelly suggested that people perceive and organize their world of experiences the same way scientists do, by formulating hypotheses about the environment and testing them against the reality of daily life. In other words, we observe the events of our life—the facts or data of our experience—and interpret them in our own way. .